Principal Data Architect and Solutioning Leader
Atlanta, GA
Job Summary
We are seeking an accomplished Principal Data Architect and Solutioning Leader to consult, design and lead complex Data and Analytics engagements leveraging cutting edge Data, BI, AI& GenAI technologies (ex : Databricks, Azure AI services etc.). This high-visibility role requires deep expertise in modern data architecture understanding right from Ingestion, Transformation, data modeling to consumption (Reporting, AI, APIs etc.). The successful candidate will be the subject matter expert and technical leader driving the in-flight engagements and be able to mine new opportunities and lead the RFP solutioning end to end. i.e Tech. solutioning, Estimation, Slideware creation and customer Presentations.
Key Responsibilities
1. Technical Leadership
- Serve as the technical leader for the projects, defining the end-to-end technical solution utilizing Technologies like Databricks , Microsoft Fabric (including Lakehouse, Data Engineering, and Data Factory workloads) etc. and lead the delivery of the project / programs from the front
- Design a robust data ingestion to consumption strategy to extract data from various sources using Python / PySpark / COTS products and load it efficiently into various target systems ( Objectstores, Databases etc.) and design the data models and consumption applications.
- Good understanding of the Data Structures, Data Models and the Data Architectures
2. Technical Pre-Sales Experience
Lead the technical pre-sales end to end for the new opportunitiesExperience in building quality RFP proposals including but not limited to- Technical solutioning, Effort Estimations, Defining clear Value propositions, creating necessary slideware and be able to present to the stakeholders.3. Delivery Excellence
Track and Monitor the projects progress and resolving the technical challenges faced by the execution teams and ensure projects run on trackAbility to collaborate effectively with the extended teams and resolve the challenges around the deliveryPro-actively Identify risk and take the necessary measure to mitigate the situationRequired Qualifications & Skills
12-15 years of progressive experience in Data and Analytics space, with a minimum of 5+ years of technical leadership experience in leading large scale D&A programs5+ Years of technical Pre-sales and end to end RFP response creation experience for mining new opportunities in the accountGood knowledge in latest AI / Gen AI technologiesAll round experience with end to end execution life cycle of D&A projectsStrong experience with Databricks (on any cloud platform) and understanding of the Data warehouse, Datalake and Lakehouse conceptsExcellent communication, presentation, and leadership skills, with the ability to lead a technical project independently.Metasys Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.